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Statistical Information: A Bayesian Perspective
AbstractWe explore the meaning of information about quantities of interest. Our approach is divided in two scenarios: the analysis of observations and the planning of an experiment. First, we review the Sufficiency, Conditionality and Likelihood principles and how they relate to trivial experiments. Next, we review Blackwell Sufficiency and show that sampling without replacement is Blackwell Sufficient for sampling with replacement. Finally, we unify the two scenarios presenting an extension of the relationship between Blackwell Equivalence and the Likelihood Principle.
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Stern, R.B.; Pereira, C.A.B. Statistical Information: A Bayesian Perspective. Entropy 2012, 14, 2254-2264.View more citation formats
Stern RB, Pereira CAB. Statistical Information: A Bayesian Perspective. Entropy. 2012; 14(11):2254-2264.Chicago/Turabian Style
Stern, Rafael B.; Pereira, Carlos A. de B. 2012. "Statistical Information: A Bayesian Perspective." Entropy 14, no. 11: 2254-2264.
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